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bcd - Benchmarking of CNA Detection from Single-cell and Spatial Transcriptomics

The bcd (Benchmarking of CNA Detection) pipeline evaluates the performance of SOTA tools in CNA profile detection, tumor vs. non-tumor classification, and subclonal structure identification.

News

Release notes are at docs/release.rst.

Installation

Dependency

The pipeline depends on some tools and packages listed below:

  • R (and Rscript), for extracting expression or probability matrix from output of R packages, such as inferCNV and Numbat.

Install from this Github Repo (latest stable/dev version)

pip install -U git+https://github.com/hxj5/bcd.git

Install locally

git clone https://github.com/hxj5/bcd.git
cd bcd
pip install -U .

In either case, if you don't have write permission for your current Python environment, we suggest creating a separate conda environment or add --user for your current one.

Manual

The full manual is at docs/manual.rst.

Acknowledgement

Previously, we have an R version of the pipeline.

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Benchmarking of CNA Detection from single-cell and spatial transcriptomics

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